Chat Completions Quickstart

Sarvam AI offers a LLM model:

Sarvam-M

Sarvam-M is a 24B open-weights multilingual, hybrid-reasoning, text-only language model.

Features

Hybrid Thinking Mode

Supports both “think” and “non-think” modes
Think mode for complex logical reasoning
Non-think mode for efficient conversations
Ideal for mathematical and coding tasks

Advanced Indic Skills

Post-trained on Indian languages
Native English proficiency
Authentic Indian cultural values
Rich understanding of local context

Superior Reasoning Capabilities

Outperforms similar-sized models
Strong performance on coding tasks
Excellent mathematical reasoning
Advanced problem-solving abilities

Seamless Chatting Experience

Full Indic script support
Romanized language support
Multilingual conversation handling
Natural language understanding

Code Examples

Basic Chat Completion

Multi-turn Conversation

Wiki Grounding

Python

JavaScript

curl

1 from sarvamai import SarvamAI
2 
3 client = SarvamAI(
4     api_subscription_key="YOUR_SARVAM_API_KEY",
5 )
6 response = client.chat.completions(messages=[
7     {"role": "user", "content": "Hey, what is the capital of India?"}
8 ])
9 print(response)

Key Considerations

Maximum context length: 4096 8192
Temperature range: 0 to 2
- Non-thinking mode: 0.2 (recommended)
- Thinking mode: 0.5 (recommended)
Top-p range: 0 to 1
Reasoning effort options: low, medium, high
- Setting any value enables thinking mode
- Higher values increase reasoning depth
Enable wiki_grounding for factual queries

Check out our detailed API Reference to explore Chat Completion and all available options.